Business Intelligence Engineer III, RISC - Extended Producer Responsibility (EPR)
Teknik, data och digitalt · Data, AI och analys · Dataanalys · Data engineering · Business intelligence
I korthet
Amazon seeks a Business Intelligence Engineer III to design, build, and scale data infrastructure and BI solutions for its Worldwide Extended Producer Responsibility (EPR) compliance and circularity programs. This role involves defining BI architecture strategy, leveraging emerging technologies like Generative AI, and leading advanced analytics initiatives to drive business strategy and cost optimization across global markets.
Ansvarsområden
- Lead design and delivery of BI solutions for EPR compliance, recycling fee analytics, regulatory tracking, and circular economy metrics.
- Define the team's BI architecture strategy, ensuring scalable and aligned pipelines, models, and reporting.
- Architect end-to-end solutions including ETL/ELT pipelines, dimensional models, and self-service analytics.
- Harmonize multi-jurisdictional regulatory data and normalize diverse reporting requirements.
- Build automated frameworks to identify cost-saving opportunities within EPR fee structures.
- Integrate EPR cost signals into upstream business decisions for retail and Selling Partner teams.
- Develop statistical models and KPI calibration for compliance health and fee trend monitoring.
- Deliver executive-facing narratives and data-driven recommendations.
- Leverage GenAI and LLMs to enhance regulatory data extraction, classification, and reporting.
- Design AI-augmented solutions for automated regulatory change detection and intelligent fee categorization.
- Evaluate and implement AI/ML technologies to improve data quality and insights.
- Set engineering standards, drive code quality, and establish operational excellence best practices.
- Mentor BIE I/II team members and provide technical assessments.
- Influence cross-functional technical decisions by driving BI best practices.
- Lead hiring efforts for BI roles, including recruiting and candidate assessment.
Krav
- 10+ years of professional or military experience.
- 5+ years of experience as a Data Analyst, Data Engineer, Business Intelligence Analyst, or related occupation.
- 5+ years of SQL experience.
- Experience programming to extract, transform, and clean large (multi-TB) datasets.
- Experience working directly with business stakeholders to translate between data and business needs.
- Experience in scripting for automation (e.g., Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning, and data mining.
Önskade kvalifikationer
- Master's degree in statistics, data science, or an equivalent quantitative field.
- Knowledge of data warehousing and data modeling.
- Experience with data visualization using Tableau, Quicksight, or similar tools.
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
Förmåner
- Inclusive culture empowering Amazonians to deliver the best results for customers.
- Workplace accommodation and adjustment support during the application and hiring process for individuals with disabilities.
#EPR#Extended Producer Responsibility#BI#Business Intelligence#Analytics#Data Engineering#Circular Economy#Compliance#Reporting#AWS#Generative AI